The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE)
Open accessAbstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease and not well understood. The forced expiratory volume in one second is used for the diagnosis and staging of COPD, but there is wide acceptance that it is a crude measure and insensitive to change over shorter periods of time. Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE) is a 3-yr longitudinal study with four specific aims: 1) definition of clinically relevant COPD subtypes; 2) identification of parameters that predict disease progression in these subtypes; 3) examination of biomarkers that correlate with COPD subtypes and may predict disease progression; and 4) identification of novel genetic factors and/or biomarkers that both correlate with clinically relevant COPD subtypes and predict disease progression. ECLIPSE plans to recruit 2,180 COPD subjects in Global Initiative for Chronic Obstructive Lung Disease categories II–IV and 343 smoking and 223 nonsmoking control subjects. Study procedures are to be performed at baseline, 3 months, 6 months and every 6 months thereafter. Assessments include pulmonary function measurements (spirometry, impulse oscillometry and plethysmography), chest computed tomography, biomarker measurement (in blood, sputum, urine and exhaled breath condensate), health outcomes, body impedance, resting oxygen saturation and 6-min walking distance. Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points is the largest study attempting to better describe the subtypes of chronic obstructive pulmonary disease, as well as defining predictive markers of its progression.
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Cites
Vestbo, J., Hurd, S. S., Agustí, A. G., Jones, P. W., Vogelmeier, C., Anzueto, A., Barnes, P. J., Fabbri, L. M., Martinez, F. J., Nishimura, M., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201204-0596pp · Cited by 15,983
Self-citationRabe, K. F., Hurd, S., Anzueto, A., Barnes, P. J., Buist, S. A., Calverley, P., Fukuchi, Y., Jenkins, C., Rodriguez-Roisin, R., van Weel, C., et al. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200703-456so · Cited by 4,925
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Self-citationCelli, B. R., Cote, C. G., Marin, J. M., Casanova, C., Montes de Oca, M., Mendez, R. A., Pinto Plata, V., & Cabral, H. J. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa021322 · Cited by 4,015
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Chronic obstructive pulmonary disease: current burden and future projections
Lopez, A. D., Shibuya, K., Rao, C., Mathers, C. D., Hansell, A. L., Held, L. S., Schmid, V., & Buist, S. (2006) · European Respiratory Journal · doi:10.1183/09031936.06.00025805 · Cited by 1,335
Dyspnea Is a Better Predictor of 5-Year Survival Than Airway Obstruction in Patients With COPD
Nishimura, K., Izumi, T., Tsukino, M., & Oga, T. (2002) · Chest · doi:10.1378/chest.121.5.1434 · Cited by 996
Oga, T., Nishimura, K., Tsukino, M., Sato, S., & Hajiro, T. (2003) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200206-583oc · Cited by 594
Definition, epidemiology and natural history of COPD
Viegi, G., Pistelli, F., Sherrill, D. L., Maio, S., Baldacci, S., & Carrozzi, L. (2007) · European Respiratory Journal · doi:10.1183/09031936.00082507 · Cited by 430
Cited by
Characterisation of COPD heterogeneity in the ECLIPSE cohort
the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) investigators, Agusti, A., Calverley, P. M., Celli, B., Coxson, H. O., Edwards, L. D., Lomas, D. A., MacNee, W., Miller, B. E., Rennard, S., et al. (2010) · Respiratory Research · doi:10.1186/1465-9921-11-122 · Cited by 1,157
Self-citationChanges in Forced Expiratory Volume in 1 Second over Time in COPD
Vestbo, J., Edwards, L. D., Scanlon, P. D., Yates, J. C., Agusti, A., Bakke, P., Calverley, P. M. A., Celli, B., Coxson, H. O., Crim, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1105482 · Cited by 963
Self-citationAn abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people
Nelson, M. R., Wegmann, D., Ehm, M. G., Kessner, D., St. Jean, P., Verzilli, C., Shen, J., Tang, Z., Bacanu, S.-A., Fraser, D., et al. (2012) · Science · doi:10.1126/science.1217876 · Cited by 647
Lynch, D. A., Austin, J. H. M., Hogg, J. C., Grenier, P. A., Kauczor, H.-U., Bankier, A. A., Barr, R. G., Colby, T. V., Galvin, J. R., Gevenois, P. A., et al. (2015) · Radiology · doi:10.1148/radiol.2015141579 · Cited by 658
Self-citationCelli, B. R., Locantore, N., Yates, J., Tal-Singer, R., Miller, B. E., Bakke, P., Calverley, P., Coxson, H., Crim, C., Edwards, L. D., et al. (2012) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201110-1792oc · Cited by 432
Self-citation
Metadata
- Authors
- Vestbo, J., Anderson, W., Coxson, H. O., Crim, C., Dawber, F., Edwards, L., Hagan, G., Knobil, K., Lomas, D. A., MacNee, W., Silverman, E. K., Tal-Singer, R., & on behalf of the ECLIPSE investigators
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2008-01-23
- Volume
- 31
- Issue
- 4
- Pages
- 869-873
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2122590281
- Cited by
- 759
- References
- 19
- FWCI
- 30.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Vestbo, J., Anderson, W., Coxson, H. O., Crim, C., Dawber, F., Edwards, L., Hagan, G., Knobil, K., Lomas, D. A., MacNee, W., Silverman, E. K., Tal-Singer, R., & on behalf of the ECLIPSE investigators. (2008). Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE). European Respiratory Journal. https://doi.org/10.1183/09031936.00111707
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
